Gender: Female 
Age: 35-44
Nationality: United States;Canada
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Jewish 
Education: Undergraduate degree
Mother's education: Undergraduate degree
Father's education: Doctorate or above
Self-assessed socioeconomic status (1-10): 2
Home: Rent 
Employment: Self-employed part time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Homemaker
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to rock/indie music;Exercise;Use social media;Do arts and crafts;Listen to classical music;Go to gigs 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Character.AI;Google Gemini;Perplexity 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Digital content creation (e.g., creation of social media content);Generic chatbot conversation;Completing assignments;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Learning;Personal;Work 
Prompt 1: What causes asthmas in cats?
Prompt 2: Help me write an email requesting time off 
Prompt 3: Help me find cheap flights from Seattle, WA to NYC in Mrch 2025
Prompt 4: Recommend an easy yet delicious vegan chocolate chip cookie receipe
Prompt 5: Please rewrite this email to make it sound more professional
Prompt 6: What breed of dogs get along well with cats?
Prompt 7: Help me brainstorm ideas for my next blog post on the topic of mental health and anxiety
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